Case Study

Game-changing DeepRecs NLP Improves Product Discovery of 2M+ Catalog with 96% Long-tail Items

Neowing and CDJapan are popular Japanese online shops that offer a wide array of entertainment products — including CDs, DVDs, games, books, comics, and character merchandise.

The Challenge

Neowing wanted to improve the experience on their digital channels with a focus on personalization at different touchpoints across the buying journey. With Algonomy, Neowing planned to:

With Algonomy DeepRecs NLP, recommendations are based on product descriptions rather than past purchases or historical browsing data. As a result, even for highly specialized and seasonal products, we can now recommend products with similar affinities, which makes shopping very convenient, highly relevant, and valuable for our shoppers.

– Katagiri Fumio, CEO, Neowing

Product Used

Top Brands Trust Algonomy

Move from Segmentation to Hyper-Personalization at Every Customer Touchpoint

Complete, unified commerce personalization

Connect all digital path-to-purchase touchpoints — search, navigation, recommendations, and content — to deliver one personal experience that supports the complete customer journey.

Most comprehensive library of 150+ personalization strategies

Accelerate time to market with our strategy library that ranges from wisdom of the crowd and collaborative filtering approaches to deep learning visual discovery and NLP approaches.

Advanced merchandising

Cross-sell and upsell seamlessly by leveraging product attributes and compatibility data. Create automated recommendations and bundles that take the load off your merchandisers.

Algorithmic decisioning for every user with real-time context

Leverage AI to detect each shopper’s stage in the buying process, and combine it with their affinities to pick the best strategy that delivers the most relevant 1:1 experience while meeting your revenue or engagement goals.

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